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GenomicsEvolutionary Engineering of E. coli MG1655 for Tolerance Against Isoprenol
Evolutionary Engineering of E. coli MG1655 for Tolerance Against Isoprenol
PRJNA667093 | ENA
TranscriptomicsUnderstanding Isoprenol effect on Pseudomonas putida KT2440 grown on a minimal medium supplemented with glucose
Pseudomonas putida KT2440 (KT2440) has been established as an industrially relevant chassis for the production of the jet-fuel precursor isoprenol. However, the wild type KT2440 strain consumed isoprenol as sole carbon source and its growth is inhibited by isoprenol, which is an impediment to high t...
ORGANISM(S): Pseudomonas putida KT2440 
2026-04-20 | GSE281392 | GEO
GenomicsUnderstanding Isoprenol effect on Pseudomonas putida KT2440 grown on a minimal medium supplemented with glucose
Understanding Isoprenol effect on Pseudomonas putida KT2440 grown on a minimal medium supplemented with glucose
PRJNA1183792 | ENA
ProteomicsProduction of isoprenol using the IPP-bypass pathway in Rhodosporidium toruloides
There is increasing demand for domestically generated-bioderived aviation fuels to strengthen the national energy supply while also reducing carbon emissions. Developing these supply chains provides an opportunity to explore novel aviation fuel components, such as 1,4-dimethylcyclooctane (DMCO). In ...
ORGANISM(S): Rhodotorula toruloides 
2026-04-09 | PXD064428 | Pride
Isoprenol  rhodosporidium toruloides  ipp-bypass pathway  phosphatase  advanced biofuel  sustainable aviation fuel jbei 
ProteomicsAn Isoprenol Biosensor for Combinatorial High Throughput Strain Engineering in Pseudomonas putida
Our group has evaluated the productivity of the alcohol isoprenol (3-methyl-3-buten-1-ol), platform commodity chemical with attractive properties specifically as a diesel fuel blendstock and precursor for the bio-jetfuel DMCO, across a number of microbial hosts. While there are strengths and drawbac...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-12 | PXD061547 | Pride
Biomanufacturing Biosensors Strain engineering High-throughput Jbei Biofuels Isoprenol P. putida 
ProteomicsAdaptive lab evolution and omics characterization enable tolerance engineering of Pseudomonas putida KT2440 to produce the jet-fuel precursor isoprenol
Pseudomonas putida KT2440 (KT2440) has been established as an industrially relevant chassis for the production of the jetfuel precursor isoprenol. However, this strain assimilated isoprenol as sole carbon source and also showed impaired growth at isoprenol concentrations > 2 g/L which is a significa...
ORGANISM(S): Pseudomonas putida KT2440 
2025-05-28 | PXD054609 | Pride
Pseudomonas putida Sustainable aviation fuel Isoprenol Adaptive laboratory evolution Tolerance engineering 
UnknownEvolutionary engineering of E. coli MG1655 for tolerance against isoprenol.
Not available
S-EPMC7653855 | biostudies-literature
ProteomicsAutomation of a CRISPRi platform for enhanced isoprenol production in Pseudomonas putida [DBTL5]
Recent advances in genome engineering technologies have significantly enhanced the ability to perturb microbial metabolic networks. Despite this progress, many bioproduction efforts struggle to parse complex metabolic datasets (e.g., -omics) within the constraints of the traditional design-build-tes...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-19 | PXD063744 | Pride
Machine learning Saf Isoprenol Jbei Laboratory automation Crispri 
ProteomicsAutomation of a CRISPRi platform for enhanced isoprenol production in Pseudomonas putida [DBTL6]
Recent advances in genome engineering technologies have significantly enhanced the ability to perturb microbial metabolic networks. Despite this progress, many bioproduction efforts struggle to parse complex metabolic datasets (e.g., -omics) within the constraints of the traditional design-build-tes...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-19 | PXD063746 | Pride
Machine learning Saf Isoprenol Jbei Laboratory automation Crispri 
ProteomicsAutomation of a CRISPRi platform for enhanced isoprenol production in Pseudomonas putida [DBTL3]
Recent advances in genome engineering technologies have significantly enhanced the ability to perturb microbial metabolic networks. Despite this progress, many bioproduction efforts struggle to parse complex metabolic datasets (e.g., -omics) within the constraints of the traditional design-build-tes...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-19 | PXD063740 | Pride
Machine learning Saf Isoprenol Jbei Laboratory automation Crispri 
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